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Real time deforestation detection using ANN and Satellite images

Real time deforestation detection using ANN and Satellite images PDF Author: Thiago Nunes Kehl
Publisher: Springer
ISBN: 3319157418
Category : Technology & Engineering
Languages : en
Pages : 75

Book Description
The foremost aim of the present study was the development of a tool to detect daily deforestation in the Amazon rainforest, using satellite images from the MODIS/TERRA sensor and Artificial Neural Networks. The developed tool provides parameterization of the configuration for the neural network training to enable us to select the best neural architecture to address the problem. The tool makes use of confusion matrices to determine the degree of success of the network. A spectrum-temporal analysis of the study area was done on 57 images from May 20 to July 15, 2003 using the trained neural network. The analysis enabled verification of quality of the implemented neural network classification and also aided in understanding the dynamics of deforestation in the Amazon rainforest, thereby highlighting the vast potential of neural networks for image classification. However, the complex task of detection of predatory actions at the beginning, i.e., generation of consistent alarms, instead of false alarms has not been solved yet. Thus, the present article provides a theoretical basis and elaboration of practical use of neural networks and satellite images to combat illegal deforestation.

Real time deforestation detection using ANN and Satellite images

Real time deforestation detection using ANN and Satellite images PDF Author: Thiago Nunes Kehl
Publisher: Springer
ISBN: 3319157418
Category : Technology & Engineering
Languages : en
Pages : 75

Book Description
The foremost aim of the present study was the development of a tool to detect daily deforestation in the Amazon rainforest, using satellite images from the MODIS/TERRA sensor and Artificial Neural Networks. The developed tool provides parameterization of the configuration for the neural network training to enable us to select the best neural architecture to address the problem. The tool makes use of confusion matrices to determine the degree of success of the network. A spectrum-temporal analysis of the study area was done on 57 images from May 20 to July 15, 2003 using the trained neural network. The analysis enabled verification of quality of the implemented neural network classification and also aided in understanding the dynamics of deforestation in the Amazon rainforest, thereby highlighting the vast potential of neural networks for image classification. However, the complex task of detection of predatory actions at the beginning, i.e., generation of consistent alarms, instead of false alarms has not been solved yet. Thus, the present article provides a theoretical basis and elaboration of practical use of neural networks and satellite images to combat illegal deforestation.

Space in Support of Human Rights

Space in Support of Human Rights PDF Author: Annette Froehlich
Publisher: Springer Nature
ISBN: 3030354261
Category : Law
Languages : en
Pages : 187

Book Description
This book stems from the worrying scale and intensity of conflicts, humanitarian crises, and human rights violations around the world, which can be seen in a wide range of global hotspots including Venezuela, Yemen, Syria, Myanmar, Sudan, Eritrea, and numerous others. These developments are also relevant for Europe, given the large-scale migrations they can produce. In order to effectively respond to them, it has become imperative to analyse ways in which space data and technologies can be used to uphold human rights and monitor violations. Various international tribunals, such as the International Court of Justice (ICJ) and the International Criminal Court (ICC), are increasingly relying on satellite data and especially images when considering human rights violations cases. This use of space-related technologies represents a trend that promises to continue as the range and accuracy of space-derived data improves. Further, satellite data has important legal implications because it allows the fulfilment of international obligations to be monitored, and offers a powerful tool for dispute resolution. Accordingly, this book examines the use of satellite images for cases concerning human rights violations, since the multitude of humanitarian crises worldwide demonstrate that it is of the utmost importance to analyse how space law, policies and space-related applications could further support the implementation and monitoring of the observance of human rights, thus contributing to enhanced security and sustainable development. A range of relevant areas, such as migration, refugees (including settlements and whether they are adequately supplied with basic necessities), water distribution and quality, housing and settlement monitoring are crucial aspects addressed in this book. In closing, the use of satellite data for legal purposes is not without its fair share of problems and concerns, which are also considered to guide the evolution of this emerging field.

Analysis of Satellite Images to Track Deforestation

Analysis of Satellite Images to Track Deforestation PDF Author: Irene Šimić de Torres
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description
Deforestation around the world, especially on the tropics, is a current very important problem that is not being monitored appropriately, leading to belated reactions by environmental organizations and governments and more deforestation fronts every year. A project called Terra-I was created a few years ago with the aim of changing this by carrying out a temporal analysis of satellite images, from NASA MODIS satellite, to monitor near-real time information and accelerate the reactions to new deforestation fronts. This was performed at first only for the Amazonian forest and the whole South America but it is willing to be expanded to the whole tropics. Due to the launching of landsat8 satellite, with improved information about satellite images, this project proposes the idea of adding to that analysis a spatial one to improve the results of the deforestation detection carried out by Terra-I with the aid of machine learning algorithms.

Impact of Technology on Environment: Climate Change and Instrumentation

Impact of Technology on Environment: Climate Change and Instrumentation PDF Author: Halit Eren PhD MBA
Publisher: Xlibris Corporation
ISBN: 1669886425
Category : Nature
Languages : en
Pages : 290

Book Description
” Technology is manmade to address human needs” “Can the world sustain current economic growth?” “Natural Greenhouse Effect warms Earth by 33C” ” Land degradation have been cumulative over time” “World population may reach 1 trillion by 9000 CE” “Earth is subject to all forces imposed by the universe” “Plastic pollution is a very serious environmental issue” “Global water movements spreads pollutants all over world” “Climate changes are due to natural causes and human activities” “The polluted air is not confined by regional or national boundaries” “Effects of technology on the environment can be direct and indirect” “Today’s technologies are collective products of thousands of people” “Prior to 19th century almost all energy used by humans was renewable” “Until 20th century, the knowledge on the environment was severely limited” “Technologies acted as catalyst to change the social settings and structures” “Environmental instrumentation science helps to collect reliable information” “Human use of natural resources raises questions on their future availability” “Overexploitation throughout the history resulted in extinction of many species” “Environmental laws, rules, and regulations may be misinterpreted and misused” “Technology is helping human activities from environmentally harmful practices” “Humans need to learn living within the laws of the nature and the laws of universe” “There are environmental activities in collaborative, cooperative, and good will manner” “Voluntary and noncommercial organization constitute major environmental movements” “Humans can no longer afford to deteriorate the environment and let the carpet slip below their feet”

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support PDF Author: M. Jorge Cardoso
Publisher: Springer
ISBN: 3319675583
Category : Computers
Languages : en
Pages : 399

Book Description
This book constitutes the refereed joint proceedings of the Third International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2017, and the 6th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Québec City, QC, Canada, in September 2017. The 38 full papers presented at DLMIA 2017 and the 5 full papers presented at ML-CDS 2017 were carefully reviewed and selected. The DLMIA papers focus on the design and use of deep learning methods in medical imaging. The ML-CDS papers discuss new techniques of multimodal mining/retrieval and their use in clinical decision support.

Harnessing High-Performance Computing and AI for Environmental Sustainability

Harnessing High-Performance Computing and AI for Environmental Sustainability PDF Author: Naim, Arshi
Publisher: IGI Global
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 422

Book Description
The world is addressing the insistent challenge of climate change, and the need for innovative solutions has become paramount. In this period of technical developments, artificial intelligence (AI) has emerged as a powerful instrument with enormous prospects to combat climate change and other environmental subjects. AI's ability to process vast amounts of data, identify patterns, and make intelligent predictions offers unprecedented opportunities to tackle this global crisis. High-Performance Computing (HPC) or super-computing environments address these large and complex challenges with individual nodes (computers) working together in a cluster (connected group) to perform massive amounts of computing in a short period. Creating and removing these clusters is often automated in the cloud to reduce costs. Computer networks, communication systems, and other IT infrastructures have a growing environmental footprint due to significant energy consumption and greenhouse gas emissions. To address this seemingly self-defeating conundrum, and create a truly sustainable environment, new energy models, algorithms, methodologies, platforms, tools, and systems are required to support next-generation computing and communication infrastructures. Harnessing High-Performance Computing and AI for Environmental Sustainability navigates through AI-driven solutions from sustainable agriculture and land management to energy optimization and smart grids. It unveils how AI algorithms can analyze colossal datasets, offering unprecedented insights into climate modeling, weather prediction, and long-term climate trends. Integrating AI-powered optimization algorithms revolutionizes energy systems, propelling the transition towards a low-carbon future by reducing greenhouse gas emissions and enhancing efficiency. This book is ideal for educators, environmentalists, industry professionals, and researchers alike, and it explores the ethical dimensions and policies surrounding AI's contribution to environmental development.

Introduction to Microwave Remote Sensing

Introduction to Microwave Remote Sensing PDF Author: Iain H. Woodhouse
Publisher: CRC Press
ISBN: 1351988557
Category : Technology & Engineering
Languages : en
Pages : 321

Book Description
Introduction to Microwave Remote Sensing offers an extensive overview of this versatile and extremely precise technology for technically oriented undergraduates and graduate students. This textbook emphasizes an important shift in conceptualization and directs it toward students with prior knowledge of optical remote sensing: the author dispels any linkage between microwave and optical remote sensing. Instead, he constructs the concept of microwave remote sensing by comparing it to the process of audio perception, explaining the workings of the ear as a metaphor for microwave instrumentation. This volume takes an “application-driven” approach. Instead of describing the technology and then its uses, this textbook justifies the need for measurement then explains how microwave technology addresses this need. Following a brief summary of the field and a history of the use of microwaves, the book explores the physical properties of microwaves and the polarimetric properties of electromagnetic waves. It examines the interaction of microwaves with matter, analyzes passive atmospheric and passive surface measurements, and describes the operation of altimeters and scatterometers. The textbook concludes by explaining how high resolution images are created using radars, and how techniques of interferometry can be applied to both passive and active sensors.

Artificial Intelligence, Medical Engineering and Education

Artificial Intelligence, Medical Engineering and Education PDF Author: Z.B. Hu
Publisher: IOS Press
ISBN: 1643684914
Category : Computers
Languages : en
Pages : 888

Book Description
Artificial Intelligence (AI) is a rapidly developing field of computer science which now plays an increasingly important role in many disciplines. A catalyst for significant change, research into AI is of particular importance in fields such as medicine and education, and as such has become an area to watch for many people worldwide. This book presents the proceedings of AIMEE 2023, the 7th International Conference on Artificial Intelligence, Medical Engineering and Education, held on 9 and 10 November 2023 in Guangzhou, China. The conference brought together top international researchers from around the world to exchange research results and address open issues in AI, medical engineering and education. A total of 238 submissions were received for AIMEE 2023, of which 89 papers were selected for presentation and publication after a rigorous international peer review process. The book is divided into 3 sections, covering artificial intelligence and scientific methodology; systems engineering and analysis: concepts, methods, and applications; and education reform and innovation. Presenting papers which explore and discuss many novel concepts and methodologies contributing to the rapid evolution of artificial intelligence and its applications, the book will be of interest to all those working in the relevant fields.

Global Forest Monitoring from Earth Observation

Global Forest Monitoring from Earth Observation PDF Author: Frederic Achard
Publisher: CRC Press
ISBN: 1000218651
Category : Nature
Languages : en
Pages : 357

Book Description
Covering recent developments in satellite observation data undertaken for monitoring forest areas from global to national levels, this book highlights operational tools and systems for monitoring forest ecosystems. It also tackles the technical issues surrounding the ability to produce accurate and consistent estimates of forest area changes, which are needed to report greenhouse gas emissions and removals from land use changes. Written by leading global experts in the field, this book offers a launch point for future advances in satellite-based monitoring of global forest resources. It gives readers a deeper understanding of monitoring methods and shows how state-of-art technologies may soon provide key data for creating more balanced policies.

Computers in Earth and Environmental Sciences

Computers in Earth and Environmental Sciences PDF Author: Hamid Reza Pourghasemi
Publisher: Elsevier
ISBN: 0323886159
Category : Computers
Languages : en
Pages : 704

Book Description
Computers in Earth and Environmental Sciences: Artificial Intelligence and Advanced Technologies in Hazards and Risk Management addresses the need for a comprehensive book that focuses on multi-hazard assessments, natural and manmade hazards, and risk management using new methods and technologies that employ GIS, artificial intelligence, spatial modeling, machine learning tools and meta-heuristic techniques. The book is clearly organized into four parts that cover natural hazards, environmental hazards, advanced tools and technologies in risk management, and future challenges in computer applications to hazards and risk management. Researchers and professionals in Earth and Environmental Science who require the latest technologies and advances in hazards, remote sensing, geosciences, spatial modeling and machine learning will find this book to be an invaluable source of information on the latest tools and technologies available. Covers advanced tools and technologies in risk management of hazards in both the Earth and Environmental Sciences Details the benefits and applications of various technologies to assist researchers in choosing the most appropriate techniques for purpose Expansively covers specific future challenges in the use of computers in Earth and Environmental Science Includes case studies that detail the applications of the discussed technologies down to individual hazards